Recurrent Neural Network and Auto-Regressive Recurrent Neural Network for trend prediction of COVID-19 in India by Bouhaddour Samya, Saadi Chaimae, Bouabdallaoui Ibrahim, Guerouate Fatima, Sbihi Mohammed

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Recurrent neural network wave functions by Mohamed Hibat-Allah, Martin Ganahl, Lauren E. Hayward, Roger G. Melko, Juan Carrasquilla

“…A core technology that has emerged from the artificial intelligence revolution is the recurrent neural network (RNN). Its unique sequence-based architecture provides a tractable likelihood estimate with stable training paradigms, a combination that has precipitated many spectacular advances in natural language processing and neural machine translation. …”
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Analysis of Recurrent Neural Network and Predictions by Jieun Park, Dokkyun Yi, Sangmin Ji

Subjects: “…recurrent neural network…”
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Survey on Evolutionary Recurrent Neural Networks by HU Zhongyuan, XUE Yu, ZHA Jiajie

Subjects: “…recurrent neural network|evolutionary computation|weight optimization|hyperparameter optimization|optimization of structure|ensemble learning|transfer learning…”
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Theory of Gating in Recurrent Neural Networks by Kamesh Krishnamurthy, Tankut Can, David J. Schwab

“…Recurrent neural networks (RNNs) are powerful dynamical models, widely used in machine learning (ML) and neuroscience. …”
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Dynamics and learning in recurrent neural networks by Xie, Xiaohui, 1972-

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Convergence properties of recurrent neural network by Fei, Yong Gang

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Dynamics and Information Import in Recurrent Neural Networks by Claus Metzner, Patrick Krauss, Patrick Krauss, Patrick Krauss

Subjects: “…recurrent neural networks (RNNs)…”
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Kp forecasting with a recurrent neural network by Sexton Ernest Scott, Nykyri Katariina, Ma Xuanye

“…In an effort to forecast the planetary Kp-index beyond the current 1-hour and 4-hour predictions, a recurrent neural network is trained on three decades of historical data from NASA’s Omni virtual observatory and forecasts Kp with a prediction horizon of up to 24 h. …”
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Recurrent Neural Networks With Finite Memory Length by Dingkun Long, Richong Zhang, Yongyi Mao

Subjects: “…Recurrent neural networks…”
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Fine-tuning and the stability of recurrent neural networks. by David MacNeil, Chris Eliasmith

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Embedded chimera states in recurrent neural networks by Maria Masoliver, Jörn Davidsen, Wilten Nicola

“…Chimera states provide an intriguing physical platform to explore synchronization effects in neural networks and brain activity. Here, a recurrent neural network with embedded Chimera states is demonstrated, suggesting the generality and robustness of such states.…”
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Recurrent Neural Networks: An Embedded Computing Perspective by Nesma M. Rezk, Madhura Purnaprajna, Tomas Nordstrom, Zain Ul-Abdin

“…Recurrent Neural Networks (RNNs) are a class of machine learning algorithms used for applications with time-series and sequential data. …”
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Predicting Human Behaviour with Recurrent Neural Networks by Aitor Almeida, Gorka Azkune

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Homeostatic scaling of excitability in recurrent neural networks. by Michiel W H Remme, Wytse J Wadman

“…Here, we study the functioning of activity-dependent homeostatic scaling of intrinsic excitability (HSE) in a recurrent neural network. Using both simulations of a recurrent network consisting of excitatory and inhibitory neurons that implement HSE, and a mean-field description of adapting excitatory and inhibitory populations, we show that the stability of such adapting networks critically depends on the relationship between the adaptation time scales of both neuron populations. …”
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Recurrent Neural Network to Forecast Sprint Performance by Kyle D. Peterson

“…The present paper demonstrates that the performance of an elite track and field sprinter can be predicted by means of the dynamic, nonlinear mathematical method of recurrent neural networks (RNNs). Dataset considers three years of National Collegiate Athletics Association (NCAA) Division I competitions where the student-athlete recorded heart rate variability two days precedent to each competition. …”
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Embedding Logic Rules Into Recurrent Neural Networks by Bingfeng Chen, Zhifeng Hao, Xiaofeng Cai, Ruichu Cai, Wen Wen, Jian Zhu, Guangqiang Xie

“…Incorporating prior knowledge into recurrent neural network (RNN) is of great importance for many natural language processing tasks. …”
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Mesh Denoising Based on Recurrent Neural Networks by Yan Xing, Jieqing Tan, Peilin Hong, Yeyuan He, Min Hu

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Lyapunov spectra of chaotic recurrent neural networks by Rainer Engelken, Fred Wolf, L. F. Abbott

“…We calculate the complete Lyapunov spectrum of recurrent neural networks and show that chaos in these networks is extensive with a size-invariant Lyapunov spectrum and attractor dimensions much smaller than the number of phase space dimensions. …”
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Coding with transient trajectories in recurrent neural networks. by Giulio Bondanelli, Srdjan Ostojic

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